A Perspective on MGI Networking Dave McDowell, Executive Director Institute for Materials Georgia Institute of Technology GUIRR Webinar September 25, 2013
Concept of a Network for Materials Innovation Accelerator Network In Existence: National Nanotechnology Infrastructure Network http://www.nnin.org/ Broad scope of MGI is too large for single institutions networking is essential for both capital and human resources. Transformation of education and collaborative work also key. Is there a need for a NMIN (National Materials Innovation Network)? What would it look like?
Likely Elements of MGI Networking Information infrastructure Educational infrastructure Shared facilities infrastructure Computational Tools Experimental Tools Digital Data
Basic Concept of MGI Natural emergence from DARPA AIM, ICME, NSF Cyberdiscovery, etc. Enhancing the rate of materials innovation and deployment half the time at half the cost Obama Administration MGI announced June 2011
Systems-Based Concurrent Product and Materials Design/Development Assembly System Limitation in Inverse problems Part Continuum Atomistic Mesoscale Material Selection Fracture Toughness Quantum McDowell, D.L. and Olson, G.B., Concurrent Design of Hierarchical Materials and Structures, Scientific Modeling and Simulation (CMNS), Vol. 15, No. 1, 2008, p. 207.
Microstructure Taxonomy Structural Materials Properties (Materials Selection) - OLD processing properties & responses Microstructure (Genome) - NEW Olson, 1997 Properties Structure Goals/means (inductive) Processing Performance Cause and effect (deductive)
Designer Knowledge Base: Integration Ni-base superalloys for aircraft gas turbine engines Dr. L. Christodoulou PWA GE DARPA AIM: McDowell, D.L. and Backman, D., Simulation-Assisted Design and Accelerated Insertion of Materials, Ch. 19 in Computational Methods for Microstructure-Property Relationships, Eds. S. Ghosh and D. Dimiduk, Springer, 2010, ISBN 978-1-4419-0642-7.
Critical Aspects for Universities Innovation infrastructure (shared resources and cyber infrastructure for materials data, analytics, and decision support), coordinated with National Labs and major university-based user facilities. Cultivating interdisciplinary exploration of emerging research themes in the critical path (e.g., mesoscale science, scaling, validated modeling protocols, 4D experiments, high throughput methods). Strategic engagement with industry. Complementary relations among stakeholders to establish MGI network. GT Initiative IMat
Materials Innovation Ecosystem @ GT Societal Impact mobility, energy, health, infrastructure, communications, security Economic Impact future workforce, 21 st century economy
IMat: Materials Innovation Ecosystem @ GT Vision: To be an international leader in the research, development, and innovative use of materials to solve scientific and technological grand challenges. Cabinet, Student & Post Doc Council, External Advisory Panel Academic & National Lab Partners Basic Materials Research X-materials MGI MatIN Workshops, Short Courses Strategic Industry Relations Distributed facilities Web portal, search/access Teaming Use-Inspired Research Industry Partners Products, Applications
Some Implications of MGI IMat Systems integration building engineering and science bridges between materials and manufacturing Integration of materials characterization, modeling, experiments, and databases with data sciences/big data high throughput is a focus Testbeds for collaborative MGI concepts across disciplines and with industry/labs, including educational and workforce programs Workshops, seminars, study groups as necessary to support MGI development and implementation
IMat was formally launched June 24, 2013 in a press release from White House OSTP related to the 2 nd anniversary of the Materials Genome Initiative http://materials.gatech.edu/
Materials Innovation Infrastructure Expanded by DLM from OSTP Materials Genome Communication http://www.whitehouse.gov/sites/default/files/microsites/ostp/materials_genome_initiative-final.pdf
Components of the Materials Innovation Network MatIN at Georgia Tech. Datasets COLLABORATION NETWORK CODE REPOSITORY DATABASE Data, metadata, workflows INITIAL APPS Correlation functions for microstructures S. Kalidindi, A. Fast Simulation Statistics Analytics
Opportunities for Engagement GT Activities: Networking, Partnerships March 28, 2014 SE USA regional workshop hosted by Georgia Tech MGI materials innovation accelerator network (June 5-6, 2014) IMat hosting at Georgia Tech with coorganizers UW-Madison and Univ. Michigan
For More Information www.whitehouse.gov/mgi mgi@ostp.eop.gov Institute for Materials Georgia Tech materials.gatech.edu david.mcdowell@me.gatech.edu